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Electrical Flows for Polylogarithmic Competitive Oblivious Routing

Authors Gramoz Goranci , Monika Henzinger , Harald Räcke , Sushant Sachdeva , A. R. Sricharan

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  • Theory of computation → Routing and network design problems
Keywords
  • oblivious routing
  • electrical flows

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Abstract

Oblivious routing is a well-studied paradigm that uses static precomputed routing tables for selecting routing paths within a network. Existing oblivious routing schemes with polylogarithmic competitive ratio for general networks are tree-based, in the sense that routing is performed according to a convex combination of trees. However, this restriction to trees leads to a construction that has time quadratic in the size of the network and does not parallelize well.
In this paper we study oblivious routing schemes based on electrical routing. In particular, we show that general networks with n vertices and m edges admit a routing scheme that has competitive ratio O(log² n) and consists of a convex combination of only O(√m) electrical routings. This immediately leads to an improved construction algorithm with time Õ(m^{3/2}) that can also be implemented in parallel with Õ(√m) depth.

Cite As Get BibTex

Gramoz Goranci, Monika Henzinger, Harald Räcke, Sushant Sachdeva, and A. R. Sricharan. Electrical Flows for Polylogarithmic Competitive Oblivious Routing. In 15th Innovations in Theoretical Computer Science Conference (ITCS 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 287, pp. 55:1-55:22, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024) https://doi.org/10.4230/LIPIcs.ITCS.2024.55

Author Details

Gramoz Goranci
  • Faculty of Computer Science, University of Vienna, Austria
Monika Henzinger
  • Institute of Science and Technology Austria (ISTA), Klosterneuburg, Austria
Harald Räcke
  • Technical University Munich, Germany
Sushant Sachdeva
  • University of Toronto, Canada
A. R. Sricharan
  • Faculty of Computer Science, UniVie Doctoral School Computer Science DoCS, University of Vienna, Austria

Funding

Monika Henzinger and A. R. Sricharan: This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant agreement No. 101019564) and the Austrian Science Fund (FWF) project Z 422-N, project I 5982-N, and project P 33775-N, with additional funding from the netidee SCIENCE Stiftung, 2020-2024.
  • Räcke, Harald: Research supported by German Research Foundation (DFG), grant 470029389 (FlexNets), 2021-2024.
  • Sachdeva, Sushant: SS’s work is supported by an Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant RGPIN-2018-06398 and a Sloan Research Fellowship.

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